Healthcare measures (like the Healthcare Effectiveness Data and Information Set or HEDIS) are a critical component of the healthcare industry and enable health plans to ensure they are not only providing high-quality care for members, but also allows them to identify critical care gaps. However, keeping up with changing measure definitions and executing SQL/procedural calculations to ensure measure dashboards are up to date is a manual and time-consuming process.
Join this webinar with experts from Inovalon, phData and Snowflake as they discuss how healthcare organizations can leverage AI and LLMs to understand measure calculation changes, propose SQL/procedural code changes and deploy measure calculation changes with ease — driving SME productivity, lowering time to market, and helping healthcare organizations deliver quality care to patients/members.
This session will cover:
- The value of healthcare measures data and how it helps to improve patient/member health outcomes
- How Snowflake’s Cortex AI and document processing capabilities enabled Inovalon and phData to derive valuable quality insights from healthcare data stored in data lakes
- Key considerations and best practices for organizations looking to get started with data and AI for healthcare measures
Register now to participate.
Speakers

Erik Hyrkas
Principal Machine Learning Solutions Architect
phData

Murali Gandhirajan
Global Healthcare & Life Sciences CTO
Snowflake

Arun Krishnaswamy
Sr Principal Machine Learning Engineer
Inovalon
Register Here